EP3165012A1 - Système et méthode permettant de suggérer des actions fondées sur des messages entrants - Google Patents
Système et méthode permettant de suggérer des actions fondées sur des messages entrantsInfo
- Publication number
- EP3165012A1 EP3165012A1 EP14742691.0A EP14742691A EP3165012A1 EP 3165012 A1 EP3165012 A1 EP 3165012A1 EP 14742691 A EP14742691 A EP 14742691A EP 3165012 A1 EP3165012 A1 EP 3165012A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- message
- computer
- suggestion
- computing device
- mobile computing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/20—Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
- H04L51/043—Real-time or near real-time messaging, e.g. instant messaging [IM] using or handling presence information
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/0482—Interaction with lists of selectable items, e.g. menus
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/07—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail characterised by the inclusion of specific contents
- H04L51/08—Annexed information, e.g. attachments
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/21—Monitoring or handling of messages
- H04L51/224—Monitoring or handling of messages providing notification on incoming messages, e.g. pushed notifications of received messages
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/20—Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
- H04W4/21—Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel for social networking applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/53—Network services using third party service providers
Definitions
- This disclosure relates to a method for suggesting actions and, more particularly, to a method of suggesting actions or applications based upon a received message associated with a mobile device.
- SMS short message service
- MMS multimedia message service
- a method in accordance with this disclosure, may include receiving a message at a mobile computing device and performing natural language processing (NLP) based interpretation of the message.
- Embodiments may further include suggesting at least one of an action and an application configured to perform the action, the suggestion based upon, at least in part, the NLP -based interpretation of the message.
- NLP natural language processing
- the message may be one or more of an MMS message, an SMS message, an instant message, and an email message.
- the NLP -based interpretation may be performed on the mobile computing device.
- the NLP-based interpretation may be performed on a server that is communication with the mobile computing device.
- the suggestion may be performed audibly via a virtual assistant associated with the mobile computing device. At least one of performing and suggesting may be automatically triggered upon receipt of the message.
- the method may include activating the application in response to receiving user acceptance of the suggestion.
- the method may further include activating the application automatically without requiring user acceptance of the suggestion.
- the method may also include connecting the mobile computing device with a third party server.
- the suggestion may be displayed on a graphical user interface associated with the mobile computing device.
- the method may further include allowing a user to set a preference associated with the suggestion.
- a computer program product residing on a computer readable storage medium having a plurality of instructions stored thereon is provided.
- the instructions which when executed by a processor, cause the processor to perform one or more operations.
- Some operations may include receiving a message at a mobile computing device and performing natural language processing (NLP) based interpretation of the message.
- NLP natural language processing
- Embodiments may further include suggesting at least one of an action and an application configured to perform the action, the suggestion based upon, at least in part, the NLP-based interpretation of the message.
- the message may be one or more of an MMS message, an SMS message, an instant message, and an email message.
- the NLP-based interpretation may be performed on the mobile computing device.
- the NLP-based interpretation may be performed on a server that is communication with the mobile computing device.
- the suggestion may be performed audibly via a virtual assistant associated with the mobile computing device.
- a computing system may include one or more processors configured to receive a message at a mobile computing device.
- the one or more processors may be further configured to perform natural language processing (NLP) based interpretation of the message.
- NLP natural language processing
- the one or more processors may be further configured to suggest at least one of an action and an application configured to perform the action, the suggestion based upon, at least in part, the NLP-based interpretation of the message.
- At least one of performing and suggesting may be automatically triggered upon receipt of the message.
- the method may include activating the application in response to receiving user acceptance of the suggestion.
- the method may further include activating the application automatically without requiring user acceptance of the suggestion.
- FIG. 1 is a diagrammatic view of a suggestion process in accordance with an embodiment of the present disclosure
- FIG. 2 is a flowchart of the suggestion process of FIG. 1 in accordance with an embodiment of the present disclosure
- FIG. 3 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure
- FIG. 4 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure
- FIG. 5 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure
- FIG. 6 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure
- FIG. 7 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure
- FIG. 8 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure
- FIG. 9 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure.
- FIG. 10 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure.
- FIG. 11 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure.
- FIG. 12 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure.
- FIG. 13 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure
- FIG. 14 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure.
- FIG. 15 is a diagrammatic view of an interface rendered by the suggestion process in accordance with an embodiment of the present disclosure
- Server application 20 may include some or all of the elements of identification process 10 described herein.
- Examples of computer 12 may include but are not limited to a single server computer, a series of server computers, a single personal computer, a series of personal computers, a mini computer, a mainframe computer, an electronic mail server, a social network server, a text message server, a photo server, or a computing cloud.
- the various components of computer 12 may execute one or more operating systems, examples of which may include but are not limited to: Microsoft Windows Server ; Novell Netware ; Redhat LinuxTM, Unix, or a custom operating system, for example.
- suggestion process 10 may include receiving (202) a message at a mobile computing device and performing (204) natural language processing (NLP) based interpretation of the message.
- Embodiments may further include suggesting (206) at least one of an action and an application configured to perform the action, the suggestion based upon, at least in part, the NLP -based interpretation of the message. Numerous additional operations are also within the scope of the present disclosure as are discussed in further detail hereinbelow.
- Storage device 16 may include but is not limited to: a hard disk drive; a flash drive, a tape drive; an optical drive; a RAID array; a random access memory (RAM); and a read-only memory (ROM).
- Network 14 may be connected to one or more secondary networks (e.g., network 18), examples of which may include but are not limited to: a local area network; a wide area network; or an intranet, for example.
- secondary networks e.g., network 18
- networks may include but are not limited to: a local area network; a wide area network; or an intranet, for example.
- Suggestion process 10 may be accessed via client applications 22, 24, 26, 28.
- client applications 22, 24, 26, 28 may include but are not limited to a standard web browser, a customized web browser, or a custom application.
- the instruction sets and subroutines of client applications 22, 24, 26, 28, which may be stored on storage devices 30, 32, 34, 36 (respectively) coupled to client electronic devices 38, 40, 42, 44 (respectively), may be executed by one or more processors (not shown) and one or more memory architectures (not shown) incorporated into client electronic devices 38, 40, 42, 44 (respectively).
- Storage devices 30, 32, 34, 36 may include but are not limited to: hard disk drives; flash drives, tape drives; optical drives; RAID arrays; random access memories (RAM); and read-only memories (ROM).
- client electronic devices 38, 40, 42, 44 may include, but are not limited to, personal computer 38, laptop computer 40, smart phone 42, notebook computer 44, a tablet computer (not shown), a server (not shown), a data-enabled, cellular telephone (not shown), a television with one or more processors embedded therein or coupled thereto, and a dedicated network device (not shown).
- suggestion process 10 may be a purely server-side application, a purely client-side application, or a hybrid server-side / client-side application that is cooperatively executed by one or more of client applications 22, 24, 26, 28 and suggestion process 10.
- Users 46, 48, 50, 52 may access computer 12 and suggestion process 10 directly through network 14 or through secondary network 18. Further, computer 12 may be connected to network 14 through secondary network 18, as illustrated with phantom link line 54.
- the various client electronic devices may be directly or indirectly coupled to network 14 (or network 18).
- personal computer 38 is shown directly coupled to network 14 via a hardwired network connection.
- notebook computer 44 is shown directly coupled to network 18 via a hardwired network connection.
- Laptop computer 40 is shown wirelessly coupled to network 14 via wireless communication channel 56 established between laptop computer 40 and wireless access point (i.e., WAP) 58, which is shown directly coupled to network 14.
- WAP 58 may be, for example, an IEEE 802.11a, 802.11b, 802.11g, Wi-Fi, and/or Bluetooth device that is capable of establishing wireless communication channel 56 between laptop computer 40 and WAP 58.
- Smart phone 42 is shown wirelessly coupled to network 14 via wireless communication channel 60 established between smart phone 42 and cellular network / bridge 62, which is shown directly coupled to network 14.
- IEEE 802. l lx specifications may use Ethernet protocol and carrier sense multiple access with collision avoidance (i.e., CSMA/CA) for path sharing.
- the various 802. l lx specifications may use phase-shift keying (i.e., PSK) modulation or complementary code keying (i.e., CCK) modulation, for example.
- PSK phase-shift keying
- CCK complementary code keying
- Bluetooth is a telecommunications industry specification that allows e.g., mobile phones, computers, and smart phones to be interconnected using a short-range wireless connection.
- Client electronic devices 38, 40, 42, 44 may each execute an operating system, examples of which may include but are not limited to Apple iOS TM, Microsoft WindowsTM, AndroidTM, Redhat LinuxTM, or a custom operating system.
- a number of users 46, 48, 50, and 52 of the client devices 38, 40, 42, 44, respectively, may access the server device 12 to participate in a social networking or messaging service.
- the client devices 38, 40, 42, 44 may execute web browser applications that can be used to access the social networking or messaging service.
- the client devices 38, 40, 42, 44 may execute software applications that are specific to the social network or messaging service (e.g., social networking or messaging "apps" running on smartphones).
- Embodiments of suggestion process 10 may provide a mechanism that facilitates taking actions based on incoming messages on mobile devices.
- the term "message” as used herein may refer to any messaging type, some of which may include, but are not limited to, email, text, SMS, MMS, instant, etc.
- the phrases "natural language” and “natural language processing” as used herein, encompass their ordinary meaning and generally include natural language understanding, which may enable computing devices to derive meaning from human input. Additional information regarding natural language processing may be found, for example, in U.S. Patent No. 7,835,911, available from the Assignee of the present disclosure.
- Embodiments of suggestion process 10 may be used to direct mobile device users to third-party service providers and may help to facilitate user interaction with virtual assistants available through the user's mobile device (e.g. Dragon Mobile Assistant available from the Assignee of the present disclosure). Accordingly, suggestion process 10 may be configured to provide full NLP-based text interpretation and suggestion of full actions and/or applications based upon the received message.
- NLP as used herein, may refer to its ordinary meaning as well as to any form of text parsing, which may include pure keyword and phrase matching techniques.
- Embodiments of suggestion process 10 may provide for the semantic interpretation of incoming messages on mobile devices, which may then automatically trigger interaction with the user suggesting taking action. As discussed above, this semantic interpretation may occur on the mobile device itself or in the cloud or in hybrid scenarios. In some embodiments, the features associated with suggestion process 10 may be manually adjustable by users or may adapt seamlessly to user behavior. In some embodiments, stochastic or rule-based NLP approaches could be applied or combined as well. For messages received from voice mail-to-text services, the semantic interpretation may include recognition and transcription confidence as well as recognition output beyond 1-best (e.g., lattice, nbest etc.) into consideration.
- 1-best e.g., lattice, nbest etc.
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“call me asap! ! !) has been received from a mobile number known to the user (e.g. message from Peter).
- Suggestion process 10 may then suggest an action or an application configured to perform the action to the user. For example, in this case suggestion process 10 may automatically invoke the messaging application 304 as shown in FIG. 3.
- suggestion process 10 may automatically invoke a virtual assistant, which may then audibly ask the user "shall I call Peter now or establish reminder for some time later?"
- suggestion process 10 may provided a display 306 that is configured to provide the question to the user in text-based form. This option may be provided in addition to the audible question or alternatively may replace the audible question at the user's option.
- suggestion process 10 may be implemented using any type of device, for example, via server computing device 12 shown in FIG. 1 and/or using a mobile computing device such as those shown in FIGS. 3-13.
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“call Mum tomorrow") has been received.
- Suggestion process 10 may then suggest an action or an application configured to perform the action to the user. For example, in this case the virtual assistant may audibly ask the user "I'll set up a reminder to call Mum for tomorrow, ok"?
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“we meet at 5pm at Denny's") has been received from a mobile number known to the user (e.g. message from Peter).
- the virtual assistant may audibly ask the user "shall I add Denny's with Peter for 5pm today"?
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“let us meet at 5pm at Denny's, ok?") has been received from a mobile number known to the user (e.g. message from Peter).
- the virtual assistant may audibly ask the user "Your calendar shows you are free at 5pm. Shall I add Denny's with Peter for 5pm today to your calendar and send response "ok"?
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“Hi, this is Georg. Please call me around noon") has been received from a mobile number not known to the user and not yet in the user's contact list.
- the virtual assistant may audibly ask the user "Shall I remind you to call him at noon? Shall I add Georg into your contacts? Georg Ablifshitz? Or George Baloney?”
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“make sure to switch off the central heating when leaving the house tonight") has been received.
- the virtual assistant may audibly ask the user "Shall I set up a reminder to switch off the central heating when leaving the house for tonight"?
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“can we meet tomorrow afternoon for a discussion?") has been received from a mobile number known to the user (e.g. message from Peter).
- the virtual assistant may audibly ask the user "Your calendar shows you are free from 3pm. Shall I send a message suggesting a meeting from 3 to 4pm"?
- suggestion process 10 an embodiment depicting a mobile computing device 1000 configured to implement suggestion process 10 is provided.
- a message 1002 has been received within a text messaging application 1004 associated with the mobile computing device 1000.
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“This is a fiight notification from Virgin America Airline. Your flight, #1234 has been delayed 2 hours” has been received from a third party server (in this example, Virgin America).
- suggestion process 10 may be configured to search a third party server automatically (e.g. without asking for the user's permission). In some embodiments, suggestion process 10 may be configured to search automatically and then ask the user whether or not they wish to view the results of the search. In this way, suggestion process 10 may be configured to perform low cost or low risk tasks without waiting for the user's permission but may require permission before performing higher cost or higher risk task (e.g., tasks that require payment from the user, bookings, etc.).
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (I really enjoyed watching Breaking Bad last night) has been received from one of the user's contacts.
- the virtual assistant may visually ask the user via a graphical user interface associated with device 1100: "Would you like to watch it” and provide a link to a third party server (e.g. Netflix, etc.) for "Breaking Bad”. Additionally and/or alternatively, the virtual assistant may provide a synopsis, for example, "Would you like to see a synopsis of the plot of Breaking Bad last night”?
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“Bill payment reminder: your account balance is")
- the virtual assistant may audibly ask the user "would you like me to connect me to your bank? Your balance in checking is $123.45"
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“I bought a great Barby-3000 with the plasma jet option") is received from a friend of the user.
- the virtual assistant may audibly suggest a shopping option. For example, "Do you want to check out Barby-3000 with plasma jet option at Amazon" or suggestions process 10 may provide a general suggestion around where to shop for toys.
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the message (“How was your day? Did the presentation go well? Can you let me know if you'll be on time? My day was just fatal. If I have to service one more cranky client, I'll just scream! could you pick up some ice cream on the way home? Oh, and don't forget your mother's birthday?”) is received from the wife of the user (i.e. Karen).
- the virtual assistant may audibly ask the user if he would like to call his wife.
- suggestion process 10 may be configured to automatically perform an NLP based interpretation of the message.
- the received message may include multiple commands that may be segmented, identified, and addressed via suggestion process 10.
- suggestion process 10 may segment the text using any suitable approach (e.g. using sentence boundaries, punctuation marks, etc.). Accordingly, for each segment, suggestion process 10 may independently determine if it is, or is not, a command.
- Various displays 1506, 1508, 1510, and 1512 may be shown to the user, each corresponding to a particular command. As described above, the content of these displays may also be audibly provided to the user using the speakers associated with mobile computing device 1500. A limit may be set by the user on how many command may be processed and/or displays shown. In some cases, a particular sentence or segment of the received text may generate a plurality of displays (e.g. the phrase "Oh, and don't forget your mother's birthday?" could result in multiple suggestions, e.g. 1510 and 1512).
- suggestion process 10 may be configured to provide some form of visual output that may be associated with a graphical user interface of the mobile device.
- the interface may be configured to allow the user to insert the details (such as exact time) as well as giving confirmation by whatever means of input.
- suggestion process 10 may generate an incoming text as a result of automatically transcribed audio (e.g. voicemail to text).
- semantic interpretation and offered actions may be based on nbest or lattice automatic speech recognition ("ASR") output.
- ASR lattice automatic speech recognition
- suggestion process 10 may be configured to provide one or more formatting options. Some of these may include, but are not limited to spelling correction and text formatting options. In some cases, these options may be applied before attempting semantic interpretation.
- suggestion process 10 may be configured to prioritize certain types of messages over others. For example, text messages may be prioritized over email messages. These settings may be user-configurable or may be set by default. Additionally and/or alternatively, in some embodiments suggestion process 10 may be configured to pre-screen the message to identify whether it has been sent by a known contact. If so, the suggestion may be presented audibly, for example. If the received message is from an unknown contact or appears to be junkmail or spam suggestion process 10 may be configured to ignore the message, provide only a visual GUI-based suggestion, etc. Some or all of this may be user- configurable.
- suggestion process 10 may be configured to provide a link to one or more applications if the user chooses to accept one of the suggested actions or applications. For example, suggestion process 10 may provide one of these possible actions, which can be accessed by clicking a uniform resource locator ("URL"). In some cases, if the user selects the URL, the user may be directed to a page that relates to the action, but which also allows a download of an application.
- URL uniform resource locator
- suggestion process 10 may be configured to connect the mobile computing device with a third party server, service provider, and/or application. Such suggestions could be subject of manual user preference settings, automatic user preference estimation and/or subject to contracts with the respective providers. Accordingly, suggestion process 10 may allow for advertisement options and options to link to certain contracted and/or favored vendors.
- suggestion process 10 may be configured to activate an application automatically (e.g. upon receipt of the message) without requiring user acceptance of the suggestion. Additionally and/or alternatively, suggestion process 10 may activate the application in response to receiving user acceptance of the suggestion. Performing the semantic interpretation of the message and/or suggesting an action or application may occur automatically or upon a manual user indication. In this way, some or all of these options may be set at the user's convenience (e.g. certain preferences may be set by certain users for how to handle incoming messages and messaging types from other particular users).
- suggestion process 10 may be utilized in a hands- free environment. Some of these may include, but are not limited to, in-vehicle applications/devices, smart home applications, and/or any suitable area that may utilize a processor or computing device, such as those shown in FIG. 1.
- suggestion process 10 may be configured to address one or more security concerns. For example, before an action is automatically triggered, suggestion process 10 may use a classification process in order to classify actions as being potential security risks. Some of these security concerns may include, but are not limited to, malicious messages and NLP failures, for example.
- suggestion process 10 may classify actions as being dangerous, moderately safe, and/or safe. These particular classifications are provided merely by way of example. Accordingly, actions classified as being dangerous may include a setting so that these actions are never performed automatically. Examples of dangerous actions may include, but are not limited to, deleting items, paying money, rebooting the phone, forwarding extensive information, following a url (except maybe for a safelist of urls), etc. Actions classified as being moderately safe may include a setting so that these actions are performed only when they are associated with trusted friends. Examples of moderately safe actions may include, but are not limited to, making appointments, acknowledging appointments, sending calendar info, following uniform resource locators ("urls") from a safelist, autoreplies, etc.
- urls uniform resource locators
- Actions classified as being safe may include obtaining information from safe sources (e.g., Wikipedia, flight information, news outlets, certain third party servers, etc.). Some actions may be classified as safe even if they have been suggested by others. These settings may be altered according to the user's particular preferences.
- safe sources e.g., Wikipedia, flight information, news outlets, certain third party servers, etc.
- the present disclosure may be embodied as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a "circuit,” "module” or “system.” Furthermore, the present disclosure may take the form of a computer program product on a computer-usable storage medium having computer-usable program code embodied in the medium.
- the computer-usable or computer-readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a transmission media such as those supporting the Internet or an intranet, or a magnetic storage device.
- the computer-usable or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
- a computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
- Computer program code for carrying out operations of the present disclosure may be written in an object oriented programming language such as Java, Smalltalk, C++ or the like. However, the computer program code for carrying out operations of the present disclosure may also be written in conventional procedural programming languages, such as the "C" programming language or similar programming languages.
- the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
- the remote computer may be connected to the user's computer through a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
- LAN local area network
- WAN wide area network
- Internet Service Provider for example, AT&T, MCI, Sprint, EarthLink, MSN, GTE, etc.
- These computer program instructions may also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
- the computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
- each block in the fiowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).
- the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
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- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Artificial Intelligence (AREA)
- Information Transfer Between Computers (AREA)
Abstract
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